Abstract

Cinematic Virtual Reality (CVR) has been increasing in popularity over the last years. In Cinematic Virtual Reality (CVR) the viewer watches omnidirectional movies using a head-mounted display or other VR devices. Thus, the viewer is positioned inside the scene, and can freely choose the direction of view. Accordingly, the viewer determines the visible section of the movie, and so it may happen that details, important for the story, are missed. During our research on user attention in CVR, we encountered many analytic demands and documented potentially useful features. This led us to developing an analyzing tool for omnidirectional movies: the CVR-Analyzer.